Dashbird provides all relevant account-, service- and function-level metrics. This, enables you to analyse and optimise performance, cost and resource usage across the board.
Dashbird recognises all Lambda specific failures like timeouts, configuration errors and memory outages. It also has an eye for all possible exceptions and runtime errors. It integrates with Slack or e-mail so you won't have to change your workflow.
Dashbird structures logs to make them easily navigable. It also provides full text search and live-tailing logs from CloudWatch and fetches execution profiles from X-ray.
Connect invocations with execution profiles from AWS X-Ray and see how long it took to execute any API call or other action in your Lambda function.
All application layers visualised so that you can build, improve and optimise with confidence.
Dashbird detects all possible Lambda failures and alerts you on slack or e-mail.
By grouping similar errors, exposing stacktraces and letting you search through large amounts of data, Dashbird is a handy debugging tool.
Dashbird is seamlessly integrated with AWS X-Ray. Just click on a invocation and see where your time went!
Our team is small but our application is large. To balance this constraint, we have harnessed the power of managed services and an event-driven architecture to focus engineering cycles on core business logic.
To provide insights into Function as a Service architectures, Dashbird collects all relevant CloudWatch logs and extracts meaningful and actionable metrics which help greatly to bring your service quality up a notch.
In this article I will explain how I built COINDATAX, a cryptocurrency analytics platform to help investors analyze the market, and explain why we choose to go serverless.
Failure detection, analytics and visibility for serverless applications in under 5 minutes.